How to convert a tokens object into a corpus object

I have a corpus object that I converted into a tokens object. I then filtered this object to remove words and unify their spelling. For my further workflow, I again need a corpus object. How can I construct this from the tokens object?

Solution

You could paste the tokens together to return a new corpus. (Although this may not be the best approach if your goal is to get back to a corpus so that you can use corpus_reshape().)

library("quanteda")
## Package version: 3.1.0
## Unicode version: 13.0
## ICU version: 69.1
## Parallel computing: 12 of 12 threads used.
## See https://quanteda.io for tutorials and examples.

txt <- c(
  "This is an example.",
  "This, a second example."
)

corp <- corpus(txt)

toks <- tokens(corp) %>%
  tokens_remove(stopwords("en"))
toks
## Tokens consisting of 2 documents.
## text1 :
## [1] "example" "."      
## 
## text2 :
## [1] ","       "second"  "example" "."

vapply(toks, paste, FUN.VALUE = character(1), collapse = " ") %>%
  corpus()
## Corpus consisting of 2 documents.
## text1 :
## "example ."
## 
## text2 :
## ", second example ."